Answer
What should I test in an AI receptionist demo before I buy?
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Short answer
Test what a demo cannot show: how the system copes with noise, concurrent calls, callbacks and transfers to a person. A demo only has to sound good for a few sentences, and in production a lot of things break. Ask the vendor about those four things first, then run a small paid pilot on one mapped workflow, try to break it, and roll out fully only if it stays consistent.
Why does an AI voice demo sound good and then fall short?
Building a demo that answers the phone and says a couple of sentences is extremely easy nowadays. You can ask a chat tool how to do it, and you may be approached by companies, or by your own IT team, who offer to take care of it.
I learned the difference the hard way. Our first client ever canceled, because the AI could not deliver our native Lithuanian language reliably, and because of noise filtering. The AI was calling existing customers, with their consent, to upsell them. People picked up in noisy places: someone talking in the back, a humming sound, the street. The AI could not tell those sounds apart, got lost, or stayed silent, because it has to wait for the caller to finish a sentence.
That taught us a valuable lesson. It can look good in a demo and sound good for a few sentences, but when you put it into production, a lot of things break.
Why do cheaper vendors leave buyers stuck?
We have a lot of competitors that are cheaper than us. When clients buy from them, the project stalls for a couple of months and the clients get burned. They often cannot buy from anybody else, because they have agreements with those vendors.
The answer you hear is: yes, it is taking half a year to deliver, yes, it is still in the demo phase, yes, nothing is rolled out. Think about the opportunity cost, and the real cost of picking the wrong vendor. It is not about the price.
What should I ask a voice AI vendor first?
When things scale to production, a few variables decide the result. The first bottleneck is noise. The second is context: if the AI is prompted wrong, it gets confused and does things you did not intend. Say a person answers that they are busy. The AI may flag the lead as not interested, when the right move is to schedule a callback in a couple of hours or days. That is possible.
There are two parts. Programming is the prompt. Reliability is the functions, the tools the AI is given: booking a consultation, adding people to a do-not-call list, transferring a call to a human. So the first thing to do with a partner is to ask about the technical aspects.
| Ask about | A demo shows | Production needs |
|---|---|---|
| Noise filtration | A quiet room, a clear voice | Street noise, other voices, humming, silence while the caller finishes |
| Concurrent calls | One call at a time | Several calls handled at once |
| Callbacks | Rarely shown | A busy caller gets a scheduled callback, not a rejection |
| Transfers to a human | Rarely shown | A real handover to a person |
What is a paid pilot, and how do I run one?
What we propose to most of our clients is a first paid pilot. You see the system in action on one mapped workflow. You test it, you try to break it, you play with it, you try to get it off topic, and you see whether it stays consistent and reliable.
A pilot costs time as well as money. A big chunk of your time or your team's time goes into mapping everything out and understanding what you want. You may start with one use case and find after testing that it needs to do something different. There is a lot of going back and forth, and that is normal.
How do I map my calls before I talk to vendors?
Download the free prompt linked in the video's description and drop it into your chat tool. It asks about the bottlenecks in your business and your repetitive scenarios, so you can work out what you need.
The goal is a process tree: what happens to a lead when the phone rings. It is a decision tree. If a person says this, then this should happen, and so on. Put all of it into your agent.
Reliability also needs a review system, and you can ask your supplier whether they have one. One option is an agent that reviews each call. Another is a call transferred to a person, who gets an email after the call and reviews it.
What does the wrong supplier cost, and what do I get when it works?
If you pick the wrong supplier, the opportunity cost is huge, especially if you prepay. That is why we always suggest paid pilots first, and a full rollout only when everything is okay.
On the other side, you have a system trained on your best practices that is always consistent and always reliable. It fits like a glove. You do not need to learn a new CRM or a new tool; it integrates into the tools you already use, and a simple dashboard lets you review calls if something goes wrong, though your AI partner should do that for you.
Then voice AI can call your leads, handle incoming traffic, take several concurrent calls, and do consistent follow-ups and reminder calls. There is a lot of opportunity here, and your fantasy is the bottleneck.
Frequently asked questions
Is it hard to build an AI voice demo?
No. A demo that answers the phone and says a couple of sentences is extremely easy to build. The difficulty starts when it meets real callers in production.
What is the first thing that breaks in production?
Noise. It is the first bottleneck you run into: other voices, humming, the street. The AI gets lost or stays silent.
What do the functions of a phone AI do?
They are the tools the AI is given, such as booking a consultation, adding people to a do-not-call list and transferring a caller to a human.
Should I decide on price?
No. Compare the technology. A wrong supplier costs far more in opportunity cost, especially if you prepay.
Do I need a new system to review the calls?
No. A simple dashboard, an agent that reviews each call, or an email to the person responsible after a transferred call is enough.
Justas Butkus is a fractional AI officer based in Vilnius, Lithuania, working with mid-market companies and scale-ups across the UK, EU and US at two to four days a month. He builds and operates the production AI systems he advises on, and takes no commission, referral fee or revenue share from any vendor.
Want to test a voice AI setup on your own calls?
Book a call and we will map your calls and look at a first paid pilot together. The phone agents run on Ainora, the voice platform of my company AINORA, MB.